Alexander Kolker
Expert in Healthcare Management Science, Operations Research, Business Analytics and Operations Management,Alexander Kolker holds a Ph.D. in applied mathematics. He is an expert in advanced data analytics for operations management, computer simulation, and staffing optimization with the main focus on healthcare applications.
Alexander is the lead editor and author of 2 books, 8 book chapters, 10 journal papers, and a speaker at 18 international conferences & webinars in the area of operations management and data analytics. As an adjunct faculty at the UW-Milwaukee Lubar School of Business, he developed and taught a graduate course Business 755-Healthcare Delivery Systems-Data Analytics. He worked 12 years for GE (General Electric) Healthcare as a Data Scientist and CT Detector design engineer, 3 years for Froedtert Hospital, the largest healthcare facility in Southern state of Wisconsin, and 5 years for Children’s Hospital of Wisconsin as a lead computer simulation and system improvement consultant.
Currently he is teaching a 12-sessions online course “Healthcare Operations Research and Management Science” for the UK, National Health System (NHS).
Healthcare Data Analytics: Methods of Matching Scarce Resources with uncertain Patient Demand: Introduction into the Queuing Analytic Models in Healthcare Settings
Waiting lines in healthcare are everywhere. Queuing theory is one of the main tools of Data Analytics/Operations Research. It is a quantitative approach to the analysis of the properties of waiting for lines (queues) when patients’ arrival (demand for service) and service time (supply) are random values. A set of examples from real hospital practice (the radiology department, Froedtert Hospital, WI) and an outpatient clinic with a different number of servers will be presented.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤179.00
- View Details
Healthcare Data Analytics: Methods of Matching Scarce Resources with Uncertain Patient Demand: Introduction to Discrete Event Simulation Methodology (DES), Dynamic Supply & Demand Balance and Capacity Problems
While one could find a rich literature on various aspects of discrete event simulation (DES), it is typically presented in a format which is difficult to use or replicate by a layman.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤179.00
- View Details
Healthcare Data Analytics: Methods of Matching Scarce Resources with Uncertain Patient Demand: Your COVID Test is Positive, Are You Infected? Applying Bayesian Inference for Single and Multiple Diagnostic Tests
The authorities need to make an accurate assessment, so that they can avoid releasing the infected individuals and quarantining the non-infected ones. Suppose a diagnostic test was ordered and was reported as positive.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤179.00
- View Details
Healthcare Data Analytics: Methods of Matching Scarce Resources with uncertain Patient Demand: Introduction into the Queuing Analytic Models in Healthcare Settings
Waiting lines in healthcare are everywhere. Queuing theory is one of the main tools of Data Analytics/Operations Research. It is a quantitative approach to the analysis of the properties of waiting for lines (queues) when patients’ arrival (demand for service) and service time (supply) are random values. A set of examples from real hospital practice (the radiology department, Froedtert Hospital, WI) and an outpatient clinic with a different number of servers will be presented.
- Alexander Kolker
- Recorded
- Duration: 90 Minutes
- Price: ¤379.00
- View Details